There are a number of AI-based approaches that have shown potential in recent years, but Path-IO really stands apart because ...
An AI model applied to pathology slides accurately predicts immunotherapy response in patients with metastatic non-small cell ...
A new method provides a more realistic description of loads on large-scale wind turbines than was previously possible. A team ...
For decades, scientists have worked to improve predictions of El Niño-Southern Oscillation (ENSO), a climate powerhouse that ...
The bustling halls of CHINAPLAS have once again become the epicenter of global industrial transformation, drawing thousands of professionals to witness the next generation of plastics and rubber ...
Abstract: This paper proposes a reinforcement learning-based tube nonlinear model predictive control (RL-TNMPC) to achieve real-time, safe, and robust trajectory tracking for autonomous vehicles ...
The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
Abstract: This study addresses the self-balancing control problem for a Reconfigurable Unmanned Ground Vehicle (RUGV) during high-precision docking process in complex environments. Constrained by ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
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